Triple
T37214091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margareta Guazzi |
E922686
|
entity |
| Predicate | spousePatron |
P197719
|
FINISHED |
| Object | Charles III of Spain |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Charles III of Spain | Statement: [Margareta Guazzi, spousePatron, Charles III of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spousePatron Context triple: [Margareta Guazzi, spousePatron, Charles III of Spain]
-
A.
spouseOfHonouree
Indicates that one person is the spouse (married partner) of the honouree.
-
B.
spouseOfHead
Indicates that one person is the married partner of the individual who holds the position of head (e.g., head of a household, organization, or state).
-
C.
spouseCharacterOf
Indicates a marital relationship where one character is the spouse of another character.
-
D.
spouseOfType
Indicates that one entity is the spouse of another, specifying the type or role of that spousal relationship.
-
E.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
| PDg | Predicate description generation | batch_69fea2cfcd648190a15e5b90889095b1 |
completed | May 9, 2026, 2:58 a.m. |
Created at: May 3, 2026, 4:15 p.m.